Machine-Learning-Tokyo / Interactive_Tools

Related projects ⓘ

Alternatives and complementary repositories for Interactive_Tools

• eugeneyan / ml-surveys
  📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
  ☆2,822Updated last year
• soulmachine / machine-learning-cheat-sheet
  Classical equations and diagrams in machine learning
  ☆7,438Updated 3 months ago
• kuleshov / cornell-cs5785-2020-applied-ml
  Teaching materials for the applied machine learning course at Cornell Tech (online edition)
  ☆982Updated 2 years ago
• alexeygrigorev / data-science-interviews
  Data science interview questions and answers
  ☆8,959Updated 2 months ago
• dair-ai / ML-Notebooks
  Machine Learning Notebooks
  ☆3,298Updated 7 months ago
• luspr / awesome-ml-courses
  Awesome free machine learning and AI courses with video lectures.
  ☆2,728Updated 5 months ago
• AakashKumarNain / annotated_research_papers
  This repo contains annotated research papers that I found really good and useful
  ☆2,687Updated 2 weeks ago
• trekhleb / machine-learning-experiments
  🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo
  ☆1,655Updated last week
• michaelgutmann / ml-pen-and-paper-exercises
  Pen and paper exercises in machine learning
  ☆1,935Updated 5 months ago
• jphall663 / awesome-machine-learning-interpretability
  A curated list of awesome responsible machine learning resources.
  ☆3,667Updated last week
• chiphuyen / machine-learning-systems-design
  A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
  ☆9,162Updated last year
• dair-ai / pytorch_notebooks
  🔥 A collection of PyTorch notebooks for learning and practicing deep learning
  ☆538Updated last year
• GokuMohandas / mlops-course
  Learn how to design, develop, deploy and iterate on production-grade ML applications.
  ☆2,970Updated 3 months ago
• Machine-Learning-Tokyo / papers-with-annotations
  Research papers with annotations, illustrations and explanations
  ☆829Updated 3 years ago
• alirezadir / Production-Level-Deep-Learning
  A guideline for building practical production-level deep learning systems to be deployed in real world applications.
  ☆4,355Updated last year
• Atcold / NYU-DLSP21
  NYU Deep Learning Spring 2021
  ☆1,577Updated 2 months ago
• Machine-Learning-Tokyo / AI_Curriculum
  Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.
  ☆2,528Updated 3 years ago
• khangich / machine-learning-interview
  Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
  ☆9,781Updated last year
• chiphuyen / ml-interviews-book
  https://huyenchip.com/ml-interviews-book/
  ☆3,443Updated 5 months ago
• neomatrix369 / awesome-ai-ml-dl
  Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources o…
  ☆1,491Updated 3 months ago
• afshinea / stanford-cs-230-deep-learning
  VIP cheatsheets for Stanford's CS 230 Deep Learning
  ☆6,364Updated 4 years ago
• Paulescu / hands-on-rl
  Free course that takes you from zero to Reinforcement Learning PRO 🦸🏻‍🦸🏽
  ☆1,072Updated 8 months ago
• kmario23 / deep-learning-drizzle
  Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lect…
  ☆12,321Updated last month
• faridrashidi / kaggle-solutions
  🏅 Collection of Kaggle Solutions and Ideas 🏅
  ☆4,991Updated this week
• bfortuner / ml-glossary
  Machine learning glossary
  ☆3,017Updated 3 months ago
• ivan-bilan / The-NLP-Pandect
  A comprehensive reference for all topics related to Natural Language Processing
  ☆2,018Updated last month
• vahidk / EffectivePyTorch
  PyTorch tutorials and best practices.
  ☆1,657Updated 2 years ago
• iamtodor / data-science-interview-questions-and-answers
  Data science interview questions with answers. Not ideally (yet)
  ☆1,577Updated 2 years ago
• Atcold / NYU-DLSP20
  NYU Deep Learning Spring 2020
  ☆6,695Updated 2 months ago
• firmai / industry-machine-learning
  A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
  ☆7,259Updated last month